Episode Details
Back to Episodes
AI agents burn tokens blindly & Always-on agents: OpenAI vs Anthropic - AI News (Apr 23, 2026)
Published 2 months ago
Description
Please support this podcast by checking out our sponsors:
- KrispCall: Agentic Cloud Telephony - https://try.krispcall.com/tad
- Discover the Future of AI Audio with ElevenLabs - https://try.elevenlabs.io/tad
- Lindy is your ultimate AI assistant that proactively manages your inbox - https://try.lindy.ai/tad
Support The Automated Daily directly:
Buy me a coffee: https://buymeacoffee.com/theautomateddaily
-Runpod Adds AP-IN-1 Datacenter and Joins OpenAI Model Craft Challenge as Infrastructure Partner
-Ramp Labs Finds Coding Agents Ignore Token Budgets and Need External Spend Controllers
-Runpod launches new AP-IN-1 datacenter and partners with OpenAI on Model Craft Challenge
-Altman Accuses Anthropic of Using Fear to Market Restricted ‘Mythos’ Cybersecurity Model
-O
- KrispCall: Agentic Cloud Telephony - https://try.krispcall.com/tad
- Discover the Future of AI Audio with ElevenLabs - https://try.elevenlabs.io/tad
- Lindy is your ultimate AI assistant that proactively manages your inbox - https://try.lindy.ai/tad
Support The Automated Daily directly:
Buy me a coffee: https://buymeacoffee.com/theautomateddaily
Today's topics:
AI agents burn tokens blindly - Ramp Labs finds coding agents ignore token budgets and even “continue” when forced to choose, signaling a need for external spend controls and auditable approvals.
Always-on agents: OpenAI vs Anthropic - Leaks suggest OpenAI is testing persistent “ChatGPT Agents” while Anthropic appears to be building an always-on Claude runtime, intensifying the race for long-running, tool-using assistants.
Qwen’s new omnimodal leap - Qwen’s Qwen3.5-Omni report claims stronger text–image–audio performance and long-context capabilities, pointing to more interactive multimodal AI via API.
Training agents with real tools - Agent-World from Renmin University and ByteDance Seed proposes scalable, stateful tool environments plus self-evolving evaluation loops to improve general-purpose agent reliability.
Google’s Deep Research API push - Google adds Deep Research and Deep Research Max to the Gemini API with citations and MCP connectivity, aiming at enterprise research automation across web and private data.
New security layers for agents - Brex open-sources CrabTrap, a policy-enforcing proxy that can inspect agent outbound requests and apply LLM-based approvals, addressing real-credential agent risk.
Bit-flip attacks sabotage models - NVIDIA and collaborators show catastrophic “Deep Neural Lesion” failures from flipping a few sign bits in weights, raising alarms about storage and hardware tampering defenses.
AI influencer deception goes viral - Wired reports a viral pro-MAGA influencer persona was AI-generated and monetized at scale, spotlighting synthetic identity, persuasion, and platform enforcement gaps.
Tokenmaxxing and on-device AI - A “tokenmaxxing” brag culture collides with Anker’s push for local AI chips, highlighting two opposite bets: expensive cloud usage versus efficient on-device inference.
Newsrooms draw AI boundaries - Ars Technica publishes a clear generative-AI newsroom policy—human-authored stories, limited tool use, and strict verification—to protect trust and accountability.
-Runpod Adds AP-IN-1 Datacenter and Joins OpenAI Model Craft Challenge as Infrastructure Partner
-Ramp Labs Finds Coding Agents Ignore Token Budgets and Need External Spend Controllers
-Runpod launches new AP-IN-1 datacenter and partners with OpenAI on Model Craft Challenge
-Altman Accuses Anthropic of Using Fear to Market Restricted ‘Mythos’ Cybersecurity Model
-O